Luchingu We offer an accelerated course in DHIS 2 data analytics, data capture and system configuration. Lessons are presented through brief lectures, worked examples, practice exercises and class discussions.
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Güira de Melena Underlying quality education is quality data, defined by its relevance, timeliness and coverage. Quality data offers education planners the evidence needed for sound decision-making in education policy development, teacher deployment and resource allocation. Quality data is essential in ensuring a human rights-based approach to education, providing rights holders with transparency and duty bearers with accountability within the education system.
The OpenEMIS Initiative responds to this growing demand for quality data towards quality education. OpenEMIS is part of UNESCO’s response to increasing demand for support in the area of education system planning and management. It supports the building of a robust and reliable Education Management Information System (EMIS) and the strengthening of national capacities in the provision of reliable information for the planning, monitoring and evaluation of education systems.
OpenEMIS is a suite of interrelated software solutions that collects and manages data into a data warehouse, and disseminates this data via visualizations, dashboards, and monitoring tools.
OpenEMIS offers several products and services, including OpenEMIS Core that enables administrators to manage students across multiple schools, and OpenEMIS Dashboard that enables administrators to build custom dashboards to monitor indicators.
We provide capacity building through professional training and on-site technical missions to key stakeholders in the operation and administration of OpenEMIS.
The primary goal of the Programme is to ensure that participants become sufficiently grounded in theoretical underpinnings of GIS applications and gain skills needed to construct new applications in the physical and social realms. The full range of GIS capabilities is covered, including data capture, analysis, modeling and cartographic representation.
The Programme covers the foundations of GIS and spatial analysis, including cartography and statistical methods. Through hands-on exposure in the form of lab exercises and course projects, experience will be acquired with major GIS software packages including ArcGIS.